skysight-inc/HackerNews huggingface dataset:
Given the exact same facts ( just like medical imaging domain ), human will form different opinion or conclusion on politics.

I think what is not discussed enough is the assumption of assumption. [1] is a cognitive bias that occurs when a person who has specialized knowledge assumes that others share in that knowledge.

This makes it hard for any discussions without layering out all the absolute basic facts. Which has now more commonly known as First Principle in modern era.

In the four quadrants known and unknown. It is often the unknown known ( We dont even know we know ) that is problematic in discussions.

[1] Curse of knowledge - https://en.wikipedia.org/wiki/Curse_of_knowledge
> The goal should be to keep the change fairly slow because most living things have trouble with fast changes.

That's what is meant by "stable". It doesn't mean static.
I use ai to care for my plants, to give me recipes for pan pancakes, to help me fix my coffee machine.

LLMs as a popularized thing is just about 2 years old. It is still mainly early adopters.

For smartphones it might have taken 10 to 15 years to gain widespread traction.

I think it is safe to say that we are only scratching the surface.
I think there is hidden gold in the linked research paper. In the second to last paragraph, it says if you are willing to discard the trivial partition (each point on its own) from Richness, then you *can* have Scale-Invariance and Refinement-Consistency as well. To me this suggests an optimal (in some sense) class of algorithms, perhaps to be chosen from based on computational complexity, cross-validation, etc.
Looks like a bad investment, isn't it better to have USA as an industrial zone where very little worker rights are provided, taxes are low and then make them work extremely long hours a better strategy?

Just invest in America, have your products and tech developed there then use these products and tech to improve Denmark living standards and increase your wealth as you recoup your investment through stock and dividends.
These are different social contingents I think. At least for me I was super on board with wikipedia because as you say the use to me was immediate and certain. AI I have tried every few months for the last two years but I still haven't found a strong use for it. It has changed nothing for me personally except making some products I use worse.
> The big difference with LLM AIs is they never graduate to an experienced staffer, they are always the idiot savant that is really dang smart but also clueless and needs to be observed.

Basically this. They already have vastly better-than-human ability at finding syntax errors within code, which on its own is quite useful; think of how many people have probably dropped out of CS as a major after staying up all night and failing to find a missing semicolon.
The article seems to be about cats getting sick from bird meat. I'm having a hard time relating your comment to that.
Do you not use it to try learning new things? I use it to help get familiar with new software (recently for FreeCAD), or new concepts (passive speaker crossover design).
Interesting read -- and a correct take, given the software development perspective. In that context, LLM-based AI is faulty, unpredictable, and unmanageable, and not ready for mission-critical applications.

If you want to argue otherwise, do a quick thought experiment first: would you let an LLM manage your financial affairs (entirely, unsupervised)? Would you let it perform your job while you receive the rewards and consequences? Would you be comfortable to give it full control of your smart home?

There are different sets of expectations put on human actors vs autonomous systems. We expect people to be fallible and wrong some of the time, even if the individuals in question can't/won't admit it. With a software-based system, the expectations are that it will be robust, tested, and performing correctly 100% of the time, and when a fault occurs, it will be clear, marked with yellow tape and flashing lights.

LLM-based AIs are sort of insidious in that they straddle this expectation gap: the emergent behaviour is erratic, projecting confident omniscience, while often hallucinating and plain wrong. However vague, the catch-all term "AI" still implies "computer system" and by extension "engineered and tested".
Well no, there is still no passport app in EU or the US. It's not dying, but it's going to
Wow, this is a wild opinion. I wonder how many people you’ve talked to about this?

I know tons of people in my social groups that love AI and use it every day in it’s current form.
A Tiny Lab Finds Danger on Drugstore Shelves While the FDA Lags Behind
I find this kind of argument comes up a lot and it seems fundamentally flawed to me.

1. You can set a bar wherever you want for a level of "seriousness" and huge swathes of real world work will fall below it, and are therefore attractive to tackle with these systems.

2. We build critical large scale systems out of humans, which are fallible and unverifiable. That's not to say current LLMs are human or equivalent, but "we can't verify X works all the time" doesn't stop us doing exactly that a lot. We deal with this by learning how humans make mistakes, why, and build systems of checks around that. There is nothing in my ind that stops us doing the same with other AI systems.

3. Software is written by, checked by and verified by humans at least at some critical point - so even verified software still has this same problem.

We've also been doing this kind of thing with ML models for ages, and we use buggy systems for an enormous amount of work worldwide. You can argue we shouldn't and should have fully formally verified systems for everything, but you can't deny that right now we have large serious systems without that.

And if your goal is "replace a human" then I just don't think you can reasonably say that it requires verifiable software.

> Systems are not explainable, as they have no model of knowledge and no representation of any ‘reasoning’.

Neither of those statements are true are they? There are internal models, and recent models are designed around having a representation of reasoning before replying.

> current generative AI systems represent a dead end, where exponential increases of training data and effort will give us modest increases in impressive plausibility but no foundational increase in reliability

And yet reliability is something we see improve as LLMs get better and we get better at training them.
There are two epistemic poles: the atomistic and the probabilistic. The author subscribes to a rule-based atomistic worldview, asserting that any perspective misaligned with this framework is incorrect. Currently, academia is undergoing a paradigm shift in the field of artificial intelligence. Symbolic AI, which was the initial research focus, is rapidly being replaced by statistical AI methodologies. This transition diminishes the relevance of atomistic or symbolic scientists, making them worry they might become irrelevant.
> For example, associativity is inherent in the notation: A→B→C→D is the only way to express the composition of three functions, you can't even write the difference between (f∘g)∘h and f∘(g∘h).

It's only unwritable in a linear picture. If you wanted to make associativity visible, then you could express it in terms of commutativity using arrows that hop over nodes.
s/tenants/tenets/

This idea is interesting, but unfalsifiable with our current methods of understanding history.
That’s a pretty big exception. And do your stats control for risk-taking behavior, which is higher in men? [0] For example, do we see a higher rate of violent crime against men because that rate includes gang violence and men are much more likely to be involved in gangs than women? Or because it includes car theft, when car ownership is higher amongst men than women? Or because men are more likely to be employed outside the home where crime is more likely?

None of this helps women who have to decide whether to cross the street to avoid a group coming towards them. The GP point about a form of social anxiety being a survival instinct is absolutely plausible.

[0] https://findanexpert.unimelb.edu.au/news/16315-men-are-more-...
The United States also has a long history of issues with what is modern Canada. They attempted an invasion in 1812.

That’s the kind of ancient nonsense that nationalists love to dig up.
(Only paid subscribers can comment on that site)

Trump won a plurality in the election, not a majority.
it's _extremely_ useful for lawyers, arguably even more so than for coders, given how much faster they can do stuff. They're also extremely useful for anyone who writes text and wants a reviewer. Also capable to execute most daily activities of some roles, such as TPMs.

It's still useful to a small subset of all those professions - the early adopters. Same way computers were useful to many professionals before the UI (but only a small fraction of them had the skillset to use terminals)
Not only does a training pass take more time and memory than an inference pass, but if you remember the Microsoft Tay incident, it should be self-explainatory why this is a bad idea without a new architecture.
I wish reporting like this, and research behind it, gave more consideration to the animals' living conditions.

The article mentions that large cats were kept separate in 30'x40' (around 10m by 12m) enclosures. They eat whatever the zoo provides, meaning the animals don't have free choice as they would in the wild.

Everyone I've met over the years who work at zoos absolutely love the animals and care deeply about the job. They would notice any visible or behavioral indicators of stress.

That said, though, those conditions aren't natural. It could simply be that germ theory is correct and the animals were perfectly healthy until the pathogen was introduced. Its also possible, though, that keeping wild animals isolated in confined pens isn't a good situation regardless of husbandry practices.
Very true. I own both yet even I'm confused all the time.
A lower pressure of our current gas ratio is not the same as current pressure with a different gas ratio
I see people say this all the time and it sounds like a pretty cosmetic distinction. Like, you could wire up an LLM to a systemd service or cron job and then it wouldn’t be “waiting”, it could be constantly processing new inputs. And some of the more advanced models already have ways of compressing the older parts of their context window to achieve extremely long context lengths.
To me, they're an annoying half-measure: Not phishing/MITM resistant, yet annoying to use in practice.

I'll still take them over SMS-OTP any day, but admittedly even that at least offers some technical benefits over TOTP, e.g. in that the relying party can tell me what I am consenting to in the message ("by entering this code, you approve a payment of $1000 to evilshop.com").
I'd say it's a skill issue, but that's only because I've worked on decompiled applications and made it work. I've worked with assembly and made it work. I hook google chrome with pdb resolving and made it work.

It took me 10 years to get to this point, it is not a reasonable expectation to have of others.
Congratulations on making it to the launch!

I really appreciate the levelheadedness of your responses regarding Ghostty, and how clear you are to be speaking positively for your thing instead of negatively about anyone else's.

Going to build it at lunch today and give it a shot :)
The DMCA takedown form can also request identity confirmation.
crazy idea: could quantum entangled communication help soften CAP ? (e.g. by allowing limited communication between partitions)
> If US bases are leaking signals that can be intercepted by drones overhead then these same signals could be just as easily intercepted by cars driving past the bases or nearby homes

Not really. Some signals can be very much unidirectional (eg, visible only to an overhead drone) instead of omnidirectional (eg, a car).
The Wikipedia analogy strikes true.

Generally people are resistant to change and the average person will typically insist new technologies are pointless.

Electricity and the airplane were supposed to be useless and dangerous dead ends according to the common person: https://pessimistsarchive.org/

But we all like to think we have super unique opinions and personalities, so "this time it's different."

When the change finally happens, people go about their lives as if they were right all along and the new technology is simply a mysterious and immutable fixture of reality that was always there.
10 year prison sentence for anybody sending fraudulent takedowns, including all lawyers involved.
You guys are having sex dreams?
> I liken Nix to source control in the time of CVS

I think this is my favourite comment about Nix ever. I'm not going to stop using Nix until a genuinely better alternative arrives, but that day can't come soon enough
> risk-taking behavior, which is higher in men?

My point, be a woman and you'll be safer. Being a woman helps because then you don't have the risk factors you just listed.
LinkedIn is also known for down-ranking posts with links. That's why you'll see people posting a URL in a separate comment on their own post.

These social networks are "on the Internet" but they are not "on the Web". The Web is strengthened through linking.
No, they are very useful tools to build up inteligent systems out of.

Everything from perplexity onward shows just how useful agents can be.

You get another bump in utility when you allow for agents swarms.

Then another one for dynamically generated agent swarms.

The only reason why it's not coming for your job is that LLMs are currently too power hungry to run those jobs for anything but research - at a couple thousand to couple of million times the price of a human doing the work.

Which works out to 10 to 20 epochs of whatever Moore's law looks like in graphics cards.
Publicly funded elections are good solution to this and get dark money out of politics. Bernie Sanders, for example, has talked about this before and has a page dedicated to how we can have more free and fair elections[0], notably:

> Abolish super PACs and replace corporate funding with publicly funded elections that amplify small-doner donations.

0: https://berniesanders.com/issues/free-and-fair-elections
:O

Thank you for showing this over here.

Esteban here, the marker of this solution.

If anyone has any question, go ahead.

;)
The new fraud, this will be filled with questionable companies and untrustworthy experts. Reason enough to avoid the entire sphere.
My wife uses it almost as much as me which isn’t quite daily. She is not a coder whatsoever.

I’ll ask her what her use cases are and reply here later if I don’t forget.
Have you paid for it?
This was starting sometime in 2010, as gov.uk was gearing up IIRR, plus most people you talked to at the time in local government would just stare and not have a clue about open source. We have honestly come a very long way (I reckon we do a “generation” each decade - making me a third time around )

However - as always, we have not come
Far enough
You can see the default configuration by running `ghostty +show-config --default`
The JVM is what is called a "Process Virtual Machine" - https://en.wikipedia.org/wiki/Virtual_machine#Process_virtua...
How do I prove it's fraudulent? Hire a lawyer?
Walk into any random coffee shop in America where people are working on their laptops and you will see some subset of them on ChatGPT. It’s definitely not just coders who are finding it useful.
AI is only useful for me if I have a good idea of what the answer might already be, or at least what it absolutely can't be.

It helps me get to an answer a little bit quicker, but it doesn't perform any absolutely groundbreaking work for me.
I find this only to be true when used on the same iPhone where NFCTools was used.

If you try to have another iPhone detect the badge, it appears not to work - unless you use NFCTools on that iPhone, too. I don't have conclusive proof but that's what the evidence seems to indicate.

Are you seeing something different?
Induced LDs back when I did it were fairly... fragile, so to speak. It was annoying, but if you got "lost in the moment" in the dream you could easily lose lucidity. It's likely still a problem with modern methods of LDing.
Nothing in your quote implies "as hard or harder." In fact, it aligns well with what your parent said: The US Navy hasn't seen significant sustained combat in 80 years.

Whether or not they'r prepared for that has nothing to do with that quote and saying the we won't be able to easily bat them down every time is a long way away from saying they're as big a challenge as Japan in the '40s.
Not a lawyer but isn’t it your rights to protect your copyright? As in, if you file fraudulent notices, YT removes you ability to file more, then you have a legitimate notice to file, now you presumably can sue YT for denying you the right to defend your copyright.
> Existing lobbying organizations, legacy industry, media, internet trolls and other anti-bodies are actively hostile to the space and intentionally slowing down progress. Even the rest of the technology industry actively hates crypto.

So everyone hates crypto and that's why Web3 is not taking off? Really? It's much more likely that there are simply no convincing practical use cases for it, and that's why all these people have been ignoring it, rightly so.
Maybe include in a prompt a threat of legal punishment? Sure somebody has already tried that and tabulated how much it improves scores on different benchmarks)
This thing should be based on some cryptographic proof/claim, it's really not that difficult to setup. More problematic part is to agree that everybody should be using "this" method, not "that" method.
He cannot
Particularly given the article's target is "systems based on large neural networks" and not specifically LLMs, I'd claim there are a vast number of uncontroversially beneficial applications: language translation, video transcription, material/product defect detection, weather forecasting/early warning systems, OCR, spam filtering, protein folding, tumor segmentation, drug discovery and interaction prediction, etc.
I don't know of a single person who got so stuck on syntax errors that they quit
If this technology keeps evolving, football[0] could get real interesting.

[0] https://www.sbnation.com/a/17776-football/
> convoluted expensive google search

I'd call it a working google search, unlike, you know, google these days.

Actually google's LLM-based search results have been getting better, so maybe this isn't the end of the line for them. But for sophisticated questions (on noncoding topics!) I still always go to chatgpt or claude.
These are not categories that needed this change or benefit from it. Specific plant care is one of the easiest things to find information about. And are you serious you couldn't find a pancake recipe? The coffee machine idk it depends on what you did. But the other two are like a parody of AI use cases. "We made it slightly more convenient, but it might be wrong now and also burns down a tree every time you use it."
I don’t think that was the common person, nor do I think the common person today thinks AI will be useless.
Want reliable AI? Stop approximating memory with attention and build reliable memory into the model directly.
It's being used in drive through windows.
In movies, in graphic design, pod casts, music, etc... 'entertainment' industry.

And HN, it isn't just a few odd balls on HN championing it. I wish there was way to get a sentiment analysis of HN, it seems there are lot more people using it than not using it.

And, what about the silent majority, the programmers that don't hang out on HN? I hear colleagues talk about it all the time.

The impact is here, whether they are self directed or not, or whether there are still a few people not using it.
In the worst case you complain that the product doesn't have feature X and go to the competition.

Even though it had the feature added 2 years ago, but you weren't notified and never bothered to look.
In order for that work, you'll need people to maintain the harsh conditions for the working masses. They will need to be very well compensated so as to maintain incentivized to keep the status quo. This CEO class will have be as wealthy as they are apathetic to suffering and injustice. So good luck trying to make a system like that where very few benefit from the work everyone else who struggle for basic living standards. No way that people would put up with that.
This is great until a small time artist gets put on trial facing 10 years for art used by megacorp, that is originally theirs but hard to prove it.
Show HN: I'm learning Go and built a scraper. How can I improve it?
TLDR: I'm learning Go and [this](https://github.com/ItzaMi/compare-supermarket-prices) is my first project with it. What am I doing wrong and what could I improve?

In an attempt to expand my horizons and actually get into backend development, I've decided to learn Go. I picked it for no reason other than the market seems to be in a friendly state towards it, compared to Elixir, but I'm very much enjoying it.

Thankfully something unlocked in my brain and I thought of a project to do while learning the syntax and how the language works, so I've built a scraper.

Here's the link: https://github.com/ItzaMi/compare-supermarket-prices

At this point, I would like to know what I'm doing wrong and what I could improve in it, so any tips and advice would be very much appreciated!
At some point, you have to trust something. Thats how I feel about WebAuthN and syncing services.

Ideally, some of this could actually be solved by having a government organization that provides this and is regularly updated / audited etc. but in the US at least, we are not in any place for that to happen, so you need to pick a provider.

Apple is reasonably good at this, if you're in their ecosystem. Can't speak for Google. 1Password has been very good to me as well, and there are Yubikeys too.

Nothing is perfect, but this is a far, far far better state than were it was heading before WebAuthN
I wonder if we can have both, the checking being done digitally. While still having an actual stamp on the paper passport. I know this sounds absurd but I dislike everything digital with no real, physical record I can keep.
Impersonating with intent to damage is legal?
Malleus Maleficarum or "Hammer of Witches"
I found another method: after waking up in the morning (with time to doze off again), nicotine pouch under the gum just after the heavy breathing starts. Super vivid lucid dreams, with obvious gotchas of using nicotine
>It is still mainly early adopters.

I just disagree with this. Every b2b or saas is marketing itself as using hallucination free AI.

We're waaaaayyyyyy past the early adoption stage, and the product hasn't meaningfully improved.
>many people have long argued against the current state of legal bribery and corruption in the US, both advocating against and voting against this outcome.

Do they, or do they mostly argue that one party is the corrupt one and vote for the other party?
What I find curious is that the people who sell the AI as the holy grail that will make any jobs obsolete in a few year at the same time claim that there's huge talent shortage and even engage in feud on immigration and spend capital to influence immigration policies.

Apparently they don't believe that AI is about to revolutionize things that much. This makes me believe that significant part of the AI investment is just FOMO driven, so no real revolution is around the corner.

Although we keep seeing claims that AI achieved PHD level this Olympics level that, people who actually own these keep demanding immigration policy changes to bring actual humans from overseas for year to come.